Monitoring and Occurrence Prediction of the Migration Population of Helicoverpa armigera (Hübner) Based on Adult Semiochemical Attractants
文献类型: 外文期刊
作者: Wei He;Chunyang Lv;Haowen Zhang;Xinzhu Cang;Bo Chu;Xianming Yang;Gemei Liang;Kongming Wu
作者机构:
关键词: fecundity prediction;Helicoverpa armigera;migrant population;monitoring and early alerting;semiochemical attractants trap;sex pheromone trap;trajectory analysis
期刊名称: Agronomy
ISSN: 2073-4395
年卷期: 2024 年 14 卷 7 期
页码:
收录情况: SCIE(2024版)
摘要: Helicoverpa armigera (Hübner) is a destructive agricultural pest. Facultative migration usually causes regional catastrophes; therefore, developing a simple and easy new technology for the monitoring and early warning of immigrant populations is urgent. Between 2021 and 2023, we conducted a population-monitoring study on H. armigera immigrants in Xundian County, Yunnan Province, where the migration pathway for pests from southeast Asia extends to southwest China. Based on the differences in the reproductive organ development parameters of H. armigera at different ages, we established an adult age discrimination model. The monitoring results of field populations with semiochemical attractants and sex pheromones between 2021 and 2023 showed that the daily average age of the adult population of H. armigera fluctuated above 6 days, and the trapping dynamics with semiochemical attractants and sex pheromones were the same. Both trapping methods yielded H. armigera males of different ages and had identical age structures, indicating that the H. armigera population primarily migrated from other regions. The trajectory analysis showed that the H. armigera population that migrated to Xundian between May and September was primarily from South Kunming, and after October, it was primarily the southward-migrating population north of Qujing City, Yunnan Province. Based on the relationship between the daily average fecundity and the age of H. armigera, a dynamic prediction model for the fecundity of the immigrant population was established. In this study, the prediction models and methods based on semiochemical attractants could potentially be used in the surveillance and population alerting of H. armigera.
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